What is Data Science? | Free Data Science
Course | Data Science for Beginners |
Data science is a process of getting insights from your data using
technology. Microsoft Excel cannot work on this huge volume of data
because the data is not data it is big data all right so for big data you
need advanced technology and tools such as Python and R these are the
programming languages that data scientists use to perform data analysis
for data store and distributed computing. Data scientists spend their time
on the next step after data cleaning and visualization is building a model.
Data scientists then deploy their model to production and then start
collecting insight or start doing predictive analysis. Amazon uses data
science to give you product recommendations the video
recommendations on Amazon Prime it will use all your past data as well. I
will give you a phone call and have a 15-minute conversation with you
and we can discuss various topics. I can help you answer any questions
on data science machine learning any career advice etc. I have another
video for the Calma campaign go there and fill out the Google form I will
pick one command and the best command which I like.
Learn data science for beginners (How to
learn data science for free)?
Data science is a process of drawing insights from data and you need a
programming language to operate on this data. Python and R are the two
most popular programming languages used by data scientists. NumPy
and pandas allow you to do data cleaning and data exploration data
scientists pan the majority of their time in data cleaning. When you are
coding or you need code editor to write the code and these code editors
are also known as IDE integrated development environments, I prefer
PyCharm or Visual Studio code as my code editor. Data visualization is a
technique used by data scientists for doing it exploration and for that you
can pick either matplotlib or c bond these are the two Python libraries
that allows you to do data visualization. As a data scientist you will be
building machine learning models if you 're using Python SK learn is the
library that everyone uses for machine learning in SK long. Data
scientists use Hadoop and spark that data scientists use for storing big
data and for distributed computing Amazon sage maker and Google cloud
computer Load 's you to do a cloud base a machine learning computing.
Microsoft Excel is still being used in data analysis when your data size is
small.
An effective way to learn these tools is a project-based learning
approach. I have a complete tutorial playlist so you should probably go
, DATA SCIENCE
through that where I have shown how to build that website where there is
like HTML CSS JavaScript JavaScript UI there is Python flask server and
there is a machine learning aspect machine learning model building
aspect to it there is data cleaning there are just this project just covers
pretty much all the topics which I require in data science. Free online
resources for data science are available for free on the internet. There
are also free online resources that can help other people learn data
science. I hope that gives you some direction on how to learn data data
science if you have your own ideas or any free resources that you are
aware about then post them in a video command below.
1. Install python on windows [Python 3
Programming Tutorials]
how to install Python 3. 5 on Windows for this go to python. org website
on that click on downloads button. Click on set a file on this click add
python to path this check box it's very important I will tell you why
customized installation I am going to install it for all users which will
install it to this location. If I didn't have this directory then I would just
add it at the beginning followed by a semicolon and hit OK after that disk
should be able to recognize the path and come on ok thank you.
manually at the start let 's say if I did n't have this. directory then would
be added at the end of the page.
2. Variables in python [Python 3
Programming Tutorials]
variables are containers that can hold any data so you can use them to
store numerical data tax data etc. You can also put tax data into it so for
example you are spending two hundred and two dollar and five cents on
gas and you're spending some money on groceries so we just created
variable to store all these individual expenses. You can not use special
characters in it for example if I create a variable like this then also it
won't work because I have a plus sign here. will get this error to get a
complete list of Python keywords you can just google it and you'll get a
list.
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